Optimal experimental design with R
Dieter Rasch
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Optimal experimental design with R
by Dieter Rasch
Published
2019
Publisher
Taylor & Francis Group
Pages
345
ISBN-13
9780367382766
Description
"Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary sample size needed for a precise answer for an experimental question. Providing a concise introduction to experimental design theory, Optimal Experimental Design with R: Introduces the philosophy of experimental design Provides an easy process for constructing experimental designs and calculating necessary sample size using R programs Teaches by example using a custom made R program package: OPDOE. Consisting of detailed, data-rich examples, this book introduces experimenters to the philosophy of experimentation, experimental design, and data collection. It gives researchers and statisticians guidance in the construction of optimum experimental designs using R programs, including sample size calculations, hypothesis testing, and confidence estimation. A final chapter of in-depth theoretical details is included for interested mathematical statisticians"--Back cover.
Subjects
Practical Research
Experimental design in behavioural research
Research methods in psychology
Nonparametric statistics for the behavioral sciences
Experimental methodology
The design of experiments
Frequently Asked Questions
How many pages are in Optimal experimental design with R?
This edition of Optimal experimental design with R has approximately 345 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Optimal experimental design with R?
For most readers, Optimal experimental design with R typically takes between 7h 11m and 4h 48m to complete. This is based on the book's length of approximately 86,250 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 45m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 12 days • Estimated word count: 86,250 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Optimal experimental design with R?
The estimated word count for Optimal experimental design with R is approximately 86,250 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Optimal experimental design with R?
Optimal experimental design with R was written by Dieter Rasch.
When was Optimal experimental design with R published?
The publication date for this specific edition is 2019. The original work may have been published on a different date.